Interpretability Techniques to Build Robust AI Applications
A repository for all things interpretability. The code in this repo was written to support my blog post on this topic.
Material for the lecture Responsible ML
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground m...
Lecture notes for 'Interpretable Machine Learning' at UoW. Summer semester 2020/2021
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment us...
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning +...
General Assembly's Data Science course in Washington, DC
A curated list of applied machine learning and data science notebooks and libraries across differ...